Sung M Chung

US Patent:

8472699, Jun 25, 2013

Filed:

Nov 21, 2007

Appl. No.:

11/944017

Inventors:

Andrew Y. Ng - Stanford CA, US
Ashutosh Saxena - Redwood City CA, US
Sung Hwan Chung - San Jose CA, US
Min Sun - Princeton NJ, US

Assignee:

Board of Trustees of the Leland Stanford Junior University - Palo Alto CA

International Classification:

G06K 9/00

US Classification:

382154, 382106, 348 42

Abstract:

Three-dimensional image data is generated. According to an example embodiment, three-dimensional depth information is estimated from a still image. A set of monocular images and their corresponding ground-truth depth maps are used to determine a relationship between monocular image features and the depth of image points. For different points in a particular image, the determined relationship is used together with local and global image features including monocular cues to determine relative depths of the points.

US Patent:

20190095807, Mar 28, 2019

Filed:

Nov 27, 2018

Appl. No.:

16/200881

Inventors:

- San Jose CA, US
Sung Hwan Chung - Fremont CA, US

International Classification:

G06N 5/04
G06F 17/00
G06F 17/30
G06K 9/00
G06K 9/46
G06K 9/68
G06K 9/20
G06Q 30/02
G06K 9/62

Abstract:

A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.

US Patent:

20150154503, Jun 4, 2015

Filed:

Feb 12, 2015

Appl. No.:

14/621296

Inventors:

- San Jose CA, US
Sung Hwan Chung - Fremont CA, US

International Classification:

G06N 5/04
G06F 17/30

Abstract:

A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.